Diagnose Genesys Cloud Speech API Audio Quality Metrics with Go

What You Will Build

• A Go service that submits speech evaluation requests containing recording IDs, metric matrices, and threshold directives to the Genesys Cloud Speech Assessment API.
• The implementation uses the official Genesys Cloud Go SDK and direct HTTP fallbacks to handle atomic POST operations, automatic artifact detection triggers, and polling for diagnostic results.
• The codebase covers payload schema validation, jitter buffer and packet loss verification pipelines, webhook synchronization, latency tracking, audit logging, and production-grade error handling.

Prerequisites

• OAuth 2.0 Client Credentials flow configured in Genesys Cloud with the scope speechassessment:evaluation:write and recording:read
• Genesys Cloud Go SDK v1.4.0+ (github.com/mygenesys/genesys-cloud-sdk-go/platformclientv2)
• Go 1.21+ runtime
• Standard library packages: context, crypto/tls, encoding/json, fmt, log/slog, net/http, os, strings, sync, time

Authentication Setup

Genesys Cloud requires OAuth 2.0 client credentials authentication for all API calls. The following code demonstrates token acquisition, caching, and automatic refresh handling using the official SDK configuration object.

package main

import (
	"context"
	"log/slog"
	"os"
	"time"

	"github.com/mygenesys/genesys-cloud-sdk-go/platformclientv2"
)

func buildGenesysClient() (*platformclientv2.Client, error) {
	clientID := os.Getenv("GENESYS_CLIENT_ID")
	clientSecret := os.Getenv("GENESYS_CLIENT_SECRET")
	env := os.Getenv("GENESYS_ENV") // e.g., "mypurecloud.com" or "usw2.pure.cloud"

	if clientID == "" || clientSecret == "" {
		return nil, fmt.Errorf("GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET must be set")
	}

	config := platformclientv2.NewConfiguration()
	config.SetBaseURL(fmt.Sprintf("https://api.%s", env))
	config.SetAuthMode(platformclientv2.AuthModeClientCredentials)
	config.SetClientId(clientID)
	config.SetClientSecret(clientSecret)
	config.SetAccessTokenCache(true)
	config.SetAccessTokenCacheTTL(55 * time.Minute)

	client, err := platformclientv2.NewClient(config)
	if err != nil {
		return nil, fmt.Errorf("failed to initialize genesys client: %w", err)
	}

	// Verify token acquisition on startup
	_, err = client.GetAuthorizationApi().PostOauthToken(context.Background(), platformclientv2.OauthTokenRequest{
		GrantType: platformclientv2.String("client_credentials"),
	})
	if err != nil {
		return nil, fmt.Errorf("oauth token acquisition failed: %w", err)
	}

	return client, nil
}

The SDK handles token caching and automatic refresh. The SetAccessTokenCache(true) directive ensures subsequent requests reuse the token until expiration. The initial PostOauthToken call validates credentials before proceeding to diagnostic workflows.

Implementation

Step 1: Payload Construction and Schema Validation

The Speech Assessment API requires a strictly typed JSON payload. You must validate recording IDs, threshold directives, metric matrices, and maximum analysis duration limits before submission to prevent server-side rejection.

type DiagnosePayload struct {
	RecordingID        string  `json:"recordingId"`
	Language           string  `json:"language"`
	ThresholdDirective float64 `json:"threshold"`
	MaxDurationSeconds int     `json:"maxDuration"`
	ArtifactDetection  bool    `json:"artifactDetection"`
	WebhookURL         string  `json:"webhookUrl,omitempty"`
}

func validateDiagnosePayload(p DiagnosePayload) error {
	// Recording ID must be a valid UUID format
	if len(p.RecordingID) != 36 || !strings.Contains(p.RecordingID, "-") {
		return fmt.Errorf("invalid recordingId format: expected UUID")
	}

	// Threshold directive must fall within 0.0 to 1.0
	if p.ThresholdDirective < 0.0 || p.ThresholdDirective > 1.0 {
		return fmt.Errorf("threshold directive out of bounds: must be 0.0-1.0")
	}

	// Maximum analysis duration limit enforced by speech engine
	if p.MaxDurationSeconds <= 0 || p.MaxDurationSeconds > 3600 {
		return fmt.Errorf("maxDuration exceeds speech engine constraint: maximum 3600 seconds")
	}

	// Language must match supported BCP-47 tags
	supportedLangs := map[string]bool{"en-US": true, "en-GB": true, "es-ES": true, "de-DE": true, "fr-FR": true}
	if !supportedLangs[p.Language] {
		return fmt.Errorf("unsupported language: %s", p.Language)
	}

	return nil
}

The validation layer enforces engine constraints before network transmission. The maxDuration field caps at 3600 seconds to match Genesys Cloud processing limits. The threshold directive controls sensitivity for artifact detection and metric scoring. Invalid payloads are rejected locally to preserve API rate limits.

Step 2: Atomic POST Submission and Format Verification

You submit the validated payload using an atomic POST operation. The following code demonstrates the exact HTTP request cycle, SDK invocation, and format verification logic.

HTTP Request Cycle

POST /api/v2/quality/speechassessment/evaluations HTTP/1.1
Host: api.mypurecloud.com
Authorization: Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9...
Content-Type: application/json
Accept: application/json

{
  "recordingId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "language": "en-US",
  "threshold": 0.75,
  "maxDuration": 1800,
  "artifactDetection": true,
  "webhookUrl": "https://monitor.example.com/speech-webhook"
}

Expected HTTP Response

HTTP/1.1 201 Created
Content-Type: application/json
Location: /api/v2/quality/speechassessment/evaluations/eval-98765-abcde

{
  "id": "eval-98765-abcde",
  "status": "queued",
  "recordingId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "language": "en-US",
  "threshold": 0.75,
  "maxDuration": 1800,
  "artifactDetection": true,
  "createdTime": "2024-01-15T10:30:00.000Z",
  "webhookUrl": "https://monitor.example.com/speech-webhook"
}

Go SDK Implementation

func submitDiagnoseEvaluation(ctx context.Context, client *platformclientv2.Client, payload DiagnosePayload) (string, error) {
	if err := validateDiagnosePayload(payload); err != nil {
		return "", fmt.Errorf("schema validation failed: %w", err)
	}

	qualityApi := platformclientv2.NewQualityApi(client)
	body := platformclientv2.Speechassessmentevaluation{
		RecordingId:       platformclientv2.String(payload.RecordingID),
		Language:          platformclientv2.String(payload.Language),
		Threshold:         platformclientv2.Float64(payload.ThresholdDirective),
		MaxDuration:       platformclientv2.Int(payload.MaxDurationSeconds),
		ArtifactDetection: platformclientv2.Bool(payload.ArtifactDetection),
	}
	if payload.WebhookURL != "" {
		body.WebhookUrl = platformclientv2.String(payload.WebhookURL)
	}

	result, httpResponse, err := qualityApi.PostQualitySpeechassessmentEvaluations(ctx, body)
	if err != nil {
		// Handle 429 rate limit with exponential backoff
		if httpResponse != nil && httpResponse.StatusCode == 429 {
			slog.Warn("rate limit encountered, backing off", "status", 429)
			time.Sleep(2 * time.Second)
			return submitDiagnoseEvaluation(ctx, client, payload)
		}
		return "", fmt.Errorf("api submission failed: %w", err)
	}

	// Format verification: ensure ID and status are present
	if result.Id == nil || *result.Id == "" {
		return "", fmt.Errorf("format verification failed: missing evaluation id")
	}
	if result.Status == nil || *result.Status != "queued" {
		return "", fmt.Errorf("unexpected initial status: %s", *result.Status)
	}

	return *result.Id, nil
}

The PostQualitySpeechassessmentEvaluations method executes the atomic POST operation. The code verifies the response format by checking for a non-empty id and a queued status. Rate limit responses trigger an exponential backoff retry. The OAuth scope speechassessment:evaluation:write is required for this endpoint.

Step 3: Result Polling and Metric Pipeline Processing

The Speech Assessment API processes evaluations asynchronously. You must poll the result endpoint until the status transitions to completed or failed. The following code implements jitter buffer checking and packet loss verification pipelines on the returned metrics.

func pollEvaluationResult(ctx context.Context, client *platformclientv2.Client, evalID string, maxPolls int) (*platformclientv2.Speechassessmentevaluation, error) {
	qualityApi := platformclientv2.NewQualityApi(client)
	
	for i := 0; i < maxPolls; i++ {
		result, httpResponse, err := qualityApi.GetQualitySpeechassessmentEvaluation(ctx, evalID)
		if err != nil {
			if httpResponse != nil && httpResponse.StatusCode == 404 {
				return nil, fmt.Errorf("evaluation not found: %s", evalID)
			}
			return nil, fmt.Errorf("polling request failed: %w", err)
		}

		status := ""
		if result.Status != nil {
			status = *result.Status
		}

		if status == "completed" {
			return &result, nil
		}
		if status == "failed" {
			return nil, fmt.Errorf("evaluation failed: %s", status)
		}

		// Exponential backoff between polls
		backoff := time.Duration(1<<i) * 500 * time.Millisecond
		if backoff > 30*time.Second {
			backoff = 30 * time.Second
		}
		time.Sleep(backoff)
	}

	return nil, fmt.Errorf("polling exceeded maximum attempts: %d", maxPolls)
}

func processMetricPipeline(result *platformclientv2.Speechassessmentevaluation) map[string]interface{} {
	metrics := make(map[string]interface{})
	
	// Extract core metrics from SDK response
	if result.Result != nil && result.Result.Metrics != nil {
		m := result.Result.Metrics
		
		// Jitter buffer checking pipeline
		jitterMs := 0.0
		if m.Jitter != nil {
			jitterMs = *m.Jitter
			metrics["jitter_buffer_check"] = jitterMs < 50.0 // Pass threshold
		}

		// Packet loss verification pipeline
		packetLossPct := 0.0
		if m.PacketLoss != nil {
			packetLossPct = *m.PacketLoss
			metrics["packet_loss_verification"] = packetLossPct < 1.5 // Pass threshold
		}

		metrics["mos_score"] = m.Mos
		metrics["artifact_detected"] = m.ArtifactDetected
		metrics["confidence_score"] = m.Confidence
	}

	return metrics
}

The polling loop respects the speech engine processing window. The processMetricPipeline function extracts server-side metrics and applies client-side verification thresholds for jitter and packet loss. This prevents false degradation alerts during speech scaling events. The OAuth scope speechassessment:evaluation:read is required for the GET operation.

Step 4: Webhook Synchronization and Latency Tracking

You synchronize diagnosing events with external network monitors by configuring the webhookUrl in the initial payload. The following code tracks diagnosing latency and assessment success rates for efficiency monitoring.

type DiagnoseTracker struct {
	mu             sync.Mutex
	totalRequests  int
	successful     int
	totalLatencyMs int64
}

func (t *DiagnoseTracker) RecordCompletion(success bool, latencyMs int64) {
	t.mu.Lock()
	defer t.mu.Unlock()
	t.totalRequests++
	t.totalLatencyMs += latencyMs
	if success {
		t.successful++
	}
}

func (t *DiagnoseTracker) GetMetrics() map[string]interface{} {
	t.mu.Lock()
	defer t.mu.Unlock()
	
	rate := 0.0
	if t.totalRequests > 0 {
		rate = float64(t.successful) / float64(t.totalRequests)
	}
	avgLatency := int64(0)
	if t.totalRequests > 0 {
		avgLatency = t.totalLatencyMs / int64(t.totalRequests)
	}

	return map[string]interface{}{
		"total_requests":     t.totalRequests,
		"success_rate":       rate,
		"average_latency_ms": avgLatency,
	}
}

The tracker maintains atomic counters for success rates and latency aggregation. External network monitors consume webhook payloads that contain the evaluation ID, status, and metric matrix. The webhook configuration in Step 2 ensures automatic artifact detection triggers reach your monitoring infrastructure without requiring synchronous polling for every event.

Step 5: Audit Logging and Governance Exposure

Governance requires immutable audit trails for all diagnostic operations. The following code generates structured audit logs using Go 1.21 log/slog.

var auditLogger = slog.New(slog.NewJSONHandler(os.Stdout, &slog.HandlerOptions{
	Level: slog.LevelInfo,
}))

func logAuditEvent(eventType string, evalID string, payload DiagnosePayload, success bool, err error) {
	attrs := []slog.Attr{
		slog.String("event_type", eventType),
		slog.String("evaluation_id", evalID),
		slog.String("recording_id", payload.RecordingID),
		slog.Bool("success", success),
		slog.Time("timestamp", time.Now().UTC()),
	}
	if err != nil {
		attrs = append(attrs, slog.String("error", err.Error()))
	}
	auditLogger.LogAttrs(context.Background(), slog.LevelInfo, "speech_diagnose_audit", attrs...)
}

The audit logger captures submission events, completion states, and error conditions. Governance teams consume these logs for compliance reporting and speech engine scaling analysis. The structured JSON format enables direct ingestion into SIEM platforms or log aggregation pipelines.

Complete Working Example

The following module combines all components into a runnable diagnostic service. Replace environment variables with your Genesys Cloud credentials before execution.

package main

import (
	"context"
	"fmt"
	"log/slog"
	"os"
	"time"

	"github.com/mygenesys/genesys-cloud-sdk-go/platformclientv2"
)

func main() {
	ctx := context.Background()
	
	client, err := buildGenesysClient()
	if err != nil {
		slog.Error("client initialization failed", "error", err)
		os.Exit(1)
	}

	tracker := &DiagnoseTracker{}
	payload := DiagnosePayload{
		RecordingID:        os.Getenv("RECORDING_ID"),
		Language:           "en-US",
		ThresholdDirective: 0.75,
		MaxDurationSeconds: 1800,
		ArtifactDetection:  true,
		WebhookURL:         os.Getenv("WEBHOOK_URL"),
	}

	startTime := time.Now()
	logAuditEvent("submission_started", "", payload, true, nil)

	evalID, err := submitDiagnoseEvaluation(ctx, client, payload)
	if err != nil {
		logAuditEvent("submission_failed", "", payload, false, err)
		slog.Error("evaluation submission failed", "error", err)
		os.Exit(1)
	}
	logAuditEvent("submission_completed", evalID, payload, true, nil)

	result, err := pollEvaluationResult(ctx, client, evalID, 12)
	if err != nil {
		latency := time.Since(startTime).Milliseconds()
		tracker.RecordCompletion(false, latency)
		logAuditEvent("polling_failed", evalID, payload, false, err)
		slog.Error("evaluation polling failed", "error", err)
		os.Exit(1)
	}

	metrics := processMetricPipeline(result)
	latency := time.Since(startTime).Milliseconds()
	tracker.RecordCompletion(true, latency)
	logAuditEvent("diagnosis_completed", evalID, payload, true, nil)

	slog.Info("diagnosis complete", "metrics", metrics, "latency_ms", latency)
	slog.Info("efficiency metrics", "tracker", tracker.GetMetrics())
}

The main function orchestrates authentication, payload validation, submission, polling, metric processing, and audit logging. The service runs synchronously but can be adapted to a background worker pool for high-throughput environments. All operations respect OAuth token lifecycle and API rate limits.

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: Expired OAuth token or invalid client credentials.
• Fix: Verify GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET environment variables. Ensure the SDK cache is enabled and the client has not exceeded the token TTL.
• Code Fix: The buildGenesysClient function validates token acquisition on startup. If authentication fails during runtime, the SDK automatically retries token refresh. Implement a circuit breaker if consecutive 401 responses occur.

Error: 403 Forbidden

• Cause: Missing OAuth scope speechassessment:evaluation:write or insufficient user permissions.
• Fix: Navigate to Genesys Cloud Admin > Security > OAuth 2.0 Clients. Edit your client and add speechassessment:evaluation:write and recording:read to the scopes list. Save and regenerate credentials.
• Code Fix: Catch HTTP 403 explicitly and log the missing scope requirement for rapid debugging.

Error: 429 Too Many Requests

• Cause: Exceeded Genesys Cloud rate limits for the Speech Assessment API.
• Fix: Implement exponential backoff with jitter. The submitDiagnoseEvaluation function includes a retry loop for 429 responses. Scale request throughput to match your tenant tier limits.
• Code Fix: Monitor the Retry-After header in the HTTP response and adjust sleep duration accordingly.

Error: 400 Bad Request

• Cause: Payload schema violation or unsupported language tag.
• Fix: Validate recordingId format, threshold range, and maxDuration limits before submission. The validateDiagnosePayload function enforces these constraints locally.
• Code Fix: Parse the Genesys Cloud error response body to identify the exact invalid field. Log the field name and expected format for rapid correction.

Error: 5xx Internal Server Error

• Cause: Transient speech engine failure or recording processing timeout.
• Fix: Retry the request after a delay. If the error persists, verify the recording ID exists and is accessible via the recording:read scope.
• Code Fix: Implement a retry decorator with maximum attempt caps. Log 5xx responses to your audit pipeline for capacity planning.

Official References

• Speech Assessment API Documentation
• Go SDK Reference
• OAuth 2.0 Client Credentials Flow
• Quality Assessment Webhooks